{"id":"W2070694192","doi":"10.3389/fpubh.2014.00135","title":"A Low-Cost Tele-Imaging Platform for Developing Countries","year":2014,"lang":"en","type":"article","venue":"Frontiers in Public Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Developing country; Computer science; Economic growth; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003740601,0.0004172217,0.0002181233,0.0004645185,0.0003563708,0.0006687451,0.0007200934,0.000681376,0.009393509],"category_scores_gemma":[0.0006404864,0.0001465774,0.000182931,0.0003792996,0.0002604329,0.0007321366,0.0009649912,0.0002872011,0.00320538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003570544,"about_ca_system_score_gemma":0.0008157172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008643505,"about_ca_topic_score_gemma":0.0005594853,"domain_scores_codex":[0.9997515,0.00007536291,0.00001352335,0.00004460287,0.00006906331,0.00004607374],"domain_scores_gemma":[0.999634,0.0000554083,0.00005578453,0.00005871345,0.0001155217,0.00008064382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001167521,0.0004291445,0.01201575,0.001178821,0.00003916548,0.002082119,0.0005909258,0.01354186,0.149846,0.009858354,0.02205128,0.787199],"study_design_scores_gemma":[0.0009608396,0.005789409,0.06607679,0.001037405,0.0002678675,0.008455466,0.001965347,0.1143664,0.1420817,0.007440537,0.651323,0.0002352172],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2910314,0.001982334,0.6478476,0.001797449,0.0003809256,0.002595103,0.001906995,0.01057973,0.04187835],"genre_scores_gemma":[0.6397773,0.0009790589,0.3383517,0.0005122224,0.0001557212,0.001422643,0.002185529,0.0003552947,0.01626052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009393509,"threshold_uncertainty_score":0.0314244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832309044255409,"score_gpt":0.354392558880929,"score_spread":0.3060694684383749,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}